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Yanghao Wang

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#artificial intelligence Preprint Mar 2026

Adaptive Weighted h-Transform Sampling for Coarse-Guided Visual Generation

A novel guided method is proposed by using the h-transform, a tool that can constrain stochastic processes (e.g., sampling process) under desired conditions and modify the transition probability at each sampling timestep by adding to the original differential equation with a drift function, which approximately steers t...

Yanghao Wang, Zi-Qi Jiang, Zhen Wang et al. · 3 citations · ⚡1
Jul 2026

ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships

This work proposes ReBind, a systematic framework that introduces semantic instructions with embedded reference tokens as the intermediate representation for multi-reference image-conditioned video editing and develops ReBind-Instruct, a specialized MLLM that learns to establish explicit bindings between visual attribu...

Xin-Yu Liu, Shi-Hao Li, Weihong Lin et al. · 2 citations
Preprint Aug 2026

DIFFCZSL: Compositional Zero-Shot Learning Regularized by Diffusion Representations

DIFFCZSL is proposed, a diffusion-augmented framework that injects generative priors from pre-trained diffusion models into CLIP-based CZSL pipelines and highlights the complementary strengths of generative diffusion representations and discriminative vision-language models for compositional generalization.

Hangyu Tian, Zhen-Qi He, Yanghao Wang et al. · 0 citations

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